hello there, i want to ask about core.matrix dot product performance, is 
there a technique to optimize dot-product function ? 

Because i found that in Java, C, or even in HipHipArray library, the dot 
product performance is extremely faster than core matrix dot product. I 
conduct a little benchmark by looping the dot product function until 800000 
steps, and i found in Java = 12 ms, C = 22 ms, and core.matrix = 1300 ms ( 
if using core.matrix.dot ), if using hiphip array in clojure, i found its 
resulting 300 ms for 800000 iteration dot-product. 

Actually i want to use hiphip array and core matrix when executing the 
core.matrix.dot-product, but the function dot-product demanding 
double-array format for the input, which is also bottleneck process for 
core.matrix because the row of matrix should be cast into double-array form 
before running dot-product. 

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